• DocumentCode
    736212
  • Title

    A Survey of Indexing Techniques For Large Scale Content-Based Image Retrieval

  • Author

    Tikle, Ashwini N. ; Vaidya, Chandu ; Dahiwale, Prashant

  • Author_Institution
    Dept. of Computer Science & Engineering, Rajiv Gandhi College of Engineering & Research, Nagpur, India
  • fYear
    2015
  • fDate
    24-25 Jan. 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Wide use of internet and multimedia technology creates large media repository that deals with the information about audio, video, images etc. Almost every user retrieve the required and similar media content, especially images from the large image collections. One of the key challenges is to design high dimensional indexing technique for faster retrieval of images by organizing its content well in computer memory. In the past decade, many researches have been carried out to design efficient high-dimensional indexing techniques to cope with the ‘curse of dimensionality’. This paper presents the survey of image indexing techniques such as tree based index methods and hashing methods.
  • Keywords
    Accuracy; Feature extraction; Image retrieval; Indexing; Measurement; Hashing methods; Image Indexing and Retrieval; Tree-based index methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
  • Conference_Location
    Visakhapatnam, India
  • Print_ISBN
    978-1-4799-7676-8
  • Type

    conf

  • DOI
    10.1109/EESCO.2015.7253733
  • Filename
    7253733